• Title/Summary/Keyword: sales management

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A Study on the Visual Elements of the Mobile Game Focused on Female Gamers (모바일 게임 <왕자영요>의 여성 게이머 중심의 시각적 요소에 관한 연구)

  • SHI, YU;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.17 no.9
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    • pp.361-366
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    • 2019
  • First quarter of 2019, 'Honour Of Kings' continued to be rank No.1 in mobile game sales. Although 'Honour Of Kings' is a game preferred by male players, it has more than 100 million female players. It can have such a large number of female players, in addition to its simplified game operation, social function, there are also included changeable characters for women's preferences. So that the 'Honour Of Kings' allows many female players to take part in. In this paper, the author chooses a skin with high preference for female players among many game consumer goods as the research object. Analysing the design elements of female player' preferences. Female players are more emotional, their favorite game characters just reflect women's longing for beautiful things. It is pointed out that the female orientation of female consumers should be taken into account in the mobile game market, which indicates the direction of visual factors for future mobile game design.

The role of corporate image and privacy concerns in adopting online travel services

  • Tapanainen, Tommi;Nguyen, Thi Thanh Hai;Dao, Kien Trung
    • The Journal of Information Systems
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    • v.28 no.3
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    • pp.1-23
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    • 2019
  • Purpose This study examines the role of corporate image and privacy concerns in intention to use of online travel services using data from Vietnam. Design/methodology/approach The data collection was implemented to a student sample at the Foreign Trade University in Hanoi, which has a high concentration of young people who are interested in online travel in Vietnam. The paper based questionnaire was directly delivered to the respondents. After sorting to eliminate unfit samples, the number of responses was 541, which exceeds 500, the minimum number typically required. To test the hypotheses, we applied structural equation modeling (SEM) and Confirmatory Factor Analysis (CFA) was used to evaluate the reliability and validity of constructs in the model. We also used direct, indirect and total effect coefficient to evaluate the total impact of factors on the intention to use online services. Findings This study found that corporate image is positively associated to intention to use online services. It found a link between corporate image and privacy concerns, which suggests another way for firms to address their customers' privacy concerns; corporate image, which has received great attention in traditional offline sales channels, but not in online services, should receive higher attention in IS research. Online travel businesses, besides increasing ease of use, perceived usefulness and trust in their services, should focus on build a reliable corporate image, which can not only promote the service use but also help to eliminate users' the privacy concerns.

Analysis of the Relationship between House Price, Income Inequality and Macroeconomic Variables (주택가격, 소득불평등 및 거시경제변수간의 관계분석)

  • Kwon, Sun-Hee;Hyun, Seong-Min
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.55-62
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    • 2019
  • This study analyzed the relationship between housing price, purchase price, Gini coefficient, interest rate, and the employment, considering that the change in housing price was an important factor influencing macroeconomic variables and income inequality. The panel VAR model was constructed considering the panel data, and the Granger causality, Impulse response and Variance dispersion analysis were performed. As a result, when compared to before and after the global financial crisis, it was shown that the rent price had an effect on income inequality, but in the following period, both the rent price and the selling price affected the income inequality. And that it has a large impact on inequality. In addition, the causality between income inequality and employment rate, interest rate, and tax rate was confirmed. Therefore, it is expected that it will be a desirable policy to mitigate income inequality considering the influence of policy variables for economic activation including government real estate policy.

A Study on the Influence of Celebrities on the Purchase of Books (유명인이 집필한 책 구매에 미치는 영향에 관한 연구)

  • Lee, Ji-Hun
    • Journal of Industrial Convergence
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    • v.16 no.2
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    • pp.41-48
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    • 2018
  • The purpose of this study is to identify the effects of book content, celebrity recognition, and celebrity expertise on book purchasing, and to suggest implications for the marketing factors for sales and the factors to consider when publishing celebrity books . The implications of this study are as follows. First, when a celebrity publishes a book, it should actively promote marketing activities that can give credibility to the reader and to the credibility of the information about the book field that he usually compiles. Second, when a book is compiled, celebrities should pay attention to book designs and pictures that fit their images. In addition, it is necessary to build a new type of advertising strategy will be. Finally, celebrities should ask for various means to inform viewers and pens of their information, experiences, and learned knowledge in various advertising environments before publishing the book. If you continue to recognize it, your future purchases of books will increase.

Delivery Tracing Protect Model Based Smart Contract for Guaranteed Anonymity (익명성 보호를 위한 스마트 컨트랙트의 배송추적 방지 모델)

  • Kim, Young Chan;Kim, Young Soo;Im, Kwang Hyuk
    • Journal of Industrial Convergence
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    • v.16 no.1
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    • pp.15-20
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    • 2018
  • Along with the increase of internet shopping, crimes that exploited personal information on the invoice of goods are becoming more and more advanced and becoming more and more classified from the interception of goods through voice phishing attack, injury, sexual offense. Therefore, in order to guarantee the anonymity of the customer's delivery information, there is a need for a delivery tracking prevention system which keeps the route information of the product's destination secret among delivery companies. For this purpose, We suggest that delivery tracing protect model based smart contract for guaranteed anonymity to protect the anonymity by encrypting delivery information and by separation of payment and personal information using the anonymity technique of block chain-based cryptography. Our proposed model contributes to expansion of internet shopping based on block chaining by providing information about product sales to company and guaranteeing anonymity of customer's delivery information to customer.

Influence Factors on Medical Expenditure according of Occupation Classification (직업분류에 따른 의료비 지출 규모와 영향 요인)

  • Choi, Ryoung
    • Journal of Digital Convergence
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    • v.17 no.4
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    • pp.203-210
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    • 2019
  • This study analyzed the size and influence factors of annual average health expenditure according to job type. Using data from the Korea Health Panel (2012), the final analysis was conducted on adults aged 20 years or older, excluding the missing data. Data analysis was done by logistic regression analysis to analyze the factors affecting medical expenditure. As a result of the study, Model 1 showed higher expenditure on medical expenses by skilled workers in agriculture and forestry fishery than those in simple labor. Model 2 was analyzed as having a positive effect on the increase of medical expenditure by the simple worker in the sales of the occupation, statistically significant by sex, marriage, income level and chronic disease. Therefore, it would be necessary to establish social security and health care & welfare policies, in order to grasp the disease with a high frequency rate according to occupation status and activate the physical examination and preventive actions.

A Cross-Country Comparative Study on the Effect of Online Review Search on Purchase Satisfaction of Existing Buyers (온라인 후기 탐색이 기존 구매자의 구매 만족도에 미치는 영향의 국가 간 비교연구)

  • Qin, PengFei;Kwon, Sundong
    • Journal of Information Technology Applications and Management
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    • v.27 no.6
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    • pp.53-73
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    • 2020
  • Many prior studies have been conducted that positive reviews increase the intention to purchase. However, there are very few papers that have studied the impact of review search on purchase satisfaction. It is meaningful to study the impact of review search on purchase satisfaction as it can lead the business successfully by inducing repurchase. There is also no study of how review search have different effects on purchase satisfaction among countries. Given the growing number of cross-border e-commerce, we believe that the need for research is high because identifying these differences between countries can have a very important impact on a company's successful overseas expansion. Therefore, in this study, the impact of positive and negative review search on purchase satisfaction and the national impact were set up as a research model. In order to verify this research model, the survey was distributed to those who experienced online purchase in Korea and China, and a total of 234 copies were collected, including 125 copies in Korea, 109 copies in China, and the research model was verified using Smart-PLS structural equation analysis tools. First, positive review search has been shown to positively affect purchase satisfaction. Second, it has been shown that negative review search also has a positive effect on purchase satisfaction. Third, the impact of positive and negative review search on purchase satisfaction was different between Korea and China. While Korea is more aggressive in review search than China due to its high tendency to avoid uncertainty, China is less likely to avoid uncertainty than Korea and is more likely to rely on brand familiarity. Therefore, according to the uncertainty avoidance moderation effect the impact of positive and negative review search on purchase satisfaction was higher in Korea than in China. In this study, Shopping mall managers need to take strategic measures to maximize shopping mall performance by recognizing positive aspects of negative review search on purchase satisfaction. Companies and managers in Korea and China can establish strategies to promote product sales when companies enter the global market.

A Study on the Appropriability Mechanism by Industry: Focus on China Industry (산업별 전유 메커니즘에 관한 연구: 중국 기업을 중심으로)

  • Park, Eun-Mi;Seo, Joung-Hae
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.161-168
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    • 2021
  • The corporate environment is undergoing many changes as the transition to a knowledge-based economy accelerates. Many changes are taking place in China, including the strategy of Chinese manufacturer 2025. It has no role in the manufacturing plant and is striving to lead the industry based on advanced technology. Therefore, the purpose of this research is to understand one's own mechanism as a result of technological innovation of Chinese companies. Therefore, in this study, based on the previous study, in the Delphi survey, eight factors were finally derived, and the eight factors were surveyed by practitioners of Chinese companies about their own mechanism. As a result of analysis, the importance of one's mechanism based on the industry as a whole is patent, design registration, lead time, confidentiality, complementary manufacturing, complementary sales and services, design complexity, learning curve effect / economies of scale. In turn, its importance appeared. The results of this study may help corporate practitioners develop their intellectual property strategic plans through their own mechanisms that are tailored to their company.

Privacy Leakage Monitoring System Design for Privacy Protection (개인정보보호를 위한 개인정보 유출 모니터링 시스템의 설계)

  • Cho, Sung-Kyu;Jun, Moon-Seog
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.1
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    • pp.99-106
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    • 2012
  • Numerous private corporations and public institutions are collecting personal information through the diverse methods for the purpose of sales, promotion and civil services, and using personal information for the profits of the organizations and services. However, due to immaturity of the technical, managerial measures and internal control for the collected personal information, the misuse, abuse and the leaks of personal information are emerged as major social issues, and the government also is promoting implementation of the act on the privacy protection by recognizing the importance of the personal information protection. This research describes on the measures to detect the anomaly by analyzing personal information treatment patterns managed by the organizations, and on the measures to coup with the leaks, misuse, and abuse of personal information. Particularly, this research is intended to suggest privacy leakage monitoring system design, which can be managed by making the elements related to personal information leaks to numeric core risk indexes to be measured objectively.

Demand Prediction of Furniture Component Order Using Deep Learning Techniques (딥러닝 기법을 활용한 가구 부자재 주문 수요예측)

  • Kim, Jae-Sung;Yang, Yeo-Jin;Oh, Min-Ji;Lee, Sung-Woong;Kwon, Sun-dong;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.111-120
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    • 2020
  • Despite the recent economic contraction caused by the Corona 19 incident, interest in the residential environment is growing as more people live at home due to the increase in telecommuting, thereby increasing demand for remodeling. In addition, the government's real estate policy is also expected to have a visible impact on the sales of the interior and furniture industries as it shifts from regulatory policy to the expansion of housing supply. Accurate demand forecasting is a problem directly related to inventory management, and a good demand forecast can reduce logistics and inventory costs due to overproduction by eliminating the need to have unnecessary inventory. However, it is a difficult problem to predict accurate demand because external factors such as constantly changing economic trends, market trends, and social issues must be taken into account. In this study, LSTM model and 1D-CNN model were compared and analyzed by artificial intelligence-based time series analysis method to produce reliable results for manufacturers producing furniture components.